nexos.ai raises €30M Series A to accelerate enterprise AI adoption.
nexos.ai raises €30M Series A to accelerate enterprise AI adoption.
Create a successful AI strategy to grow your business
Driving real business value with AI starts by treating it as a strategic initiative, not just a technical project. nexos.ai’s AI strategy framework helps leaders and teams define a clear vision and strategy. Download our free AI Strategy Playbook to get step-by-step guidance and templates for each phase of building a scalable strategy.
What is an AI strategy?
How can businesses benefit from an effective AI strategy?
When built and executed correctly, an AI strategy can unlock huge benefits. Below are key areas where AI delivers value.
Improved customer experience
AI-driven insights and automation can make services more responsive and personalized. Companies see up to a 30% increase in customer satisfaction after deploying AI tools to handle inquiries. Chatbots and recommendation engines can answer questions instantly or tailor offers in real time.Increased efficiency and productivity
Implementing AI tools lets teams automate repetitive work and speed up complex tasks. Studies show that staff using AI report enormous productivity gains – up to 80% improvement. AI accelerates routine processes so your teams can focus on higher-value work.Innovation and new opportunities
Around 77% of companies are using or exploring AI, with many planning to scale. Real-world uses include automated document analysis in banking, predictive maintenance in manufacturing, and dynamic pricing in retail.Competitive advantage and growth
Data-driven decision making
Download nexos.ai’s AI Strategy Playbook for a detailed guide.
How to create an enterprise AI strategy
Building an enterprise AI strategy means following a clear sequence of steps. Here are the key phases that form a practical roadmap.
Align AI with business objectives
Define clear goals and KPIs that AI will support. Identify critical business processes or pain points (e.g., supply chain, sales, customer support) where AI can make the biggest impact. Engaging executives and stakeholders early ensures the strategy has a strong vision from the top.
Assess readiness
Take stock of your data, technology, and talent. Do you have the data strategy and infrastructure needed for AI? Are your teams ready (or is there a skills gap)? This evaluation highlights gaps in data quality, security, or AI skills that must be addressed.
Prioritize high-impact use cases
List potential AI projects and rank them by business value and feasibility. Focus first on “quick wins” – projects that can be implemented quickly to deliver tangible benefits. Studies show that 65% of organizations adopt AI specifically to automate repetitive tasks, a common source of quick ROI.
Establish governance
Define who owns each AI initiative and how performance is reviewed. Ensure data privacy and fairness: A responsible AI strategy includes processes to audit models for bias and to protect sensitive information.
Pilot, measure, iterate
Run small-scale tests of your selected projects. Define metrics (KPIs) like cost savings, time savings, or revenue lift in advance. Measure results and learn from each pilot for calculating AI ROI. As one expert suggests, select projects, run tests, measure against KPIs, then refine and scale.
Scale
Turn successful pilots into full-scale deployments – but do it deliberately. Embed AI into workflows, retrain staff, and adapt processes to reduce AI adoption challenges. Monitor model performance continuously, as AI needs regular updates to stay effective. Scaling isn’t just about expansion – it’s about sustaining impact.
Even with a great AI strategy, many companies hit roadblocks in execution. In fact, research shows 74% of companies still struggle to capture value from their AI initiatives. The top issues include:
Unclear vision or objectives
Too often, organizations start AI pilots without a clear strategy. In fact, a recent Gallup survey found 44% of companies have begun using AI, but only 22% have communicated a clear plan or strategy.Data and infrastructure challenges
AI is only as good as the data behind it. Many companies face data silos, poor data quality, or outdated systems. HBR reports that in previous data initiatives, about 37% of companies were successful in improving data quality. Without robust data pipelines and a data strategy, even the best algorithms can underperform.Costly AI talent investment
Implementing AI requires specialized expertise. A recent survey found that 43.5% of companies still need to recruit talent to implement AI. Many businesses lack data scientists, ML engineers, or training for existing staff. This talent gap makes it hard to develop, deploy, and maintain AI systems.Integration and process hurdles
AI initiatives often stall in integration. Multiple teams might adopt disjointed solutions (e.g., marketing using one AI tool, HR another), creating “tool sprawl”. Merging these into a unified system can be complex: Context-window limits, unpredictable outputs, and other common
Get a comprehensive AI roadmap
Investing time in a solid AI implementation strategy pays off. Right now, only about a quarter of companies have the right capabilities to turn AI into value. Our AI Strategy Playbook helps bridge that gap. In our playbook, you will find:
Frameworks to tie AI initiatives to your business goals, plus guidance on identifying high-impact projects and quick wins.
Checklists for building data infrastructure, selecting AI solutions, and setting up processes.
Templates for ethical review, risk management, and KPIs to track success.
Real examples of companies that built a robust AI strategy — and the results they achieved.
Learn how to make AI work for your business
74% of enterprise AI initiatives fail to deliver lasting value. Avoid the common pitfalls and start with AI the right way.
Get the free AI Strategy Playbook and discover:
- 11 red flags your AI setup might be failing.
- How most teams waste time on AI tool chaos instead of outcomes.
- A 90-day AI rollout framework used by top tech companies.
- How to drive real ROI with a centralized, secure AI workspace.
Fill in the form to download AI Strategy Playbook.
Meanwhile, we’ll see if we’re a good fit — and reach out if we can bring value to your AI goals.
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